Enhanced Feature Selection for Microbiome Data using FLORAL: Scalable Log-ratio Lasso Regression.
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| Title: | Enhanced Feature Selection for Microbiome Data using FLORAL: Scalable Log-ratio Lasso Regression. |
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| Authors: | Fei T; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center., Funnell T; Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center., Waters NR; Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center., Raj SS; Department of Medicine, Memorial Sloan Kettering Cancer Center., Sadeghi K; Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center., Dai A; Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center., Miltiadous O; Department of Pediatrics, Memorial Sloan Kettering Cancer Center., Shouval R; Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center.; Department of Medicine, Weill Cornell Medical College., Lv M; Institute of Hematology, Peking University People's Hospital., Peled JU; Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center.; Department of Medicine, Weill Cornell Medical College., Ponce DM; Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center.; Department of Medicine, Weill Cornell Medical College., Perales MA; Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center.; Department of Medicine, Weill Cornell Medical College., Gönen M; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center., van den Brink MRM; City of Hope Los Angeles and City of Hope National Medical Center. |
| Source: | BioRxiv : the preprint server for biology [bioRxiv] 2023 Dec 18. Date of Electronic Publication: 2023 Dec 18. |
| Publication Type: | Preprint; Journal Article |
| Journal Info: | Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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